Title :
Time frequency analysis of multi-component non-stationary signal with filter bank decomposition
Author_Institution :
Dept. of Automotive & Transp., Qingdao Technol. Univ., Qingdao, China
Abstract :
In order to acquire outer cross term free time frequency distribution of multi-component nonstationary signal, filter bank technique was used to decompose the signal being analyzed. With filter bank, the signal was decomposed as spectral components belong to different subbands, for each spectral component, divided it as different time segment signal in time domain and combined different time segment signal which belongs to different subbands according to time continuity, the independent major components of the signal were formed. The Wigner-Ville distribution of the multi-components signal was calculated, the Wigner-Ville distribution of the independent major components were superimposed as the time frequency distribution of multi-components signal. Contrast between the two distributions show the decomposition method is practical and give outer cross term free time frequency distribution.
Keywords :
Wigner distribution; channel bank filters; time-frequency analysis; Wigner-Ville distribution; filter bank decomposition; multicomponent nonstationary signal; multicomponents signal; spectral components; time domain; time frequency analysis; time frequency distribution; time segment signal; Filter banks; Kernel; Signal resolution; Time domain analysis; Time frequency analysis; Wavelet analysis; Time frequency analysis; Wigner-Ville distribution; decomposition; filter bank; outer cross term;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025890